Dynamic representations of stack- and queue-like syntactic structures

A Grüning

doi:10.1142/9789812701886_0015

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Dynamic representations of stack- and queue-like syntactic structures

A Grüning

Progress in Neural Processing: Modeling Language, Cognition And Action, Vol.16, pp.151-155

Ninth Neural Computation and Psychology Workshop Modelling Language, Cognition, and Action (NCPW9) (Plymouth, UK, 08/09/2004 - 10/09/2004)

05/2005

DOI: https://doi.org/10.1142/9789812701886_0015

Abstract

We present simulations on how simple recurrent networks (SRNs) learn to represent prototypical centre-embedding and cross-serial languages, and analyse the emerging network dynamics. The networks find solutions for the tasks that can be characterised as simple dynamical systems and yield an explanation why cross-serial languages in an SRN setting are harder to aquire.

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Title: Dynamic representations of stack- and queue-like syntactic structures
Creators: A Grüning
Contributors: World Scientific Publishing (null)
Publication Details: Progress in Neural Processing: Modeling Language, Cognition And Action, Vol.16, pp.151-155
Conference: Ninth Neural Computation and Psychology Workshop Modelling Language, Cognition, and Action (NCPW9) (Plymouth, UK, 08/09/2004 - 10/09/2004)
Date published: 05/2005
Date submitted: 16/07/2012
Identifiers: 99513758202346
Academic Unit: University of Surrey
Resource Type: Conference presentation

Dynamic representations of stack- and queue-like syntactic structures

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